HBIM IMPLEMENTATION for AN OTTOMAN MOSQUE. CASE of STUDY: SULTAN MEHMET FATIH II MOSQUE in KOSOVO

none5noNational Strategy For Cultural Heritage 2017-2027 is a Kosovo Government document that aims the enhancement of the system for the protection and preservation of Kosovan cultural heritage. Among the listed goals, one can find the promotion of an integrated data management approach towards cooperation platforms that involve advanced technologies and information systems applied to cultural heritage. In a country with a low technological progress, as Kosovo is, an innovative information management system like HBIM is a huge challenge. This research contributes in opening the debate about the use of HBIM even for historical architecture, illustrating a methodology of information management promoting the conservation and the valorization of a Kosovan ottoman mosque. The workflow pipeline started with the close range photogrammetric survey, obtaining first spherical panoramas and then the wire-frame processed in a 3D modelling environment, suitable to implement the HBIM project. Basing on the accuracy of the data acquisition, the availability of information about the building and the related level of knowledge, we proposed a semantic representation of the complex structure integrating in an HBIM collecting in an "ad hoc" database the geometrical building components, enriched with attributes as images, materials, decay, interventions, etc., linked to each features. Our approach is an example of how efficient semantic classification can be repeated for the analysis and the documentation of other similar ottoman mosque, simplifying the management of construction by a sort of unique and searchable archive. The advantage of the interoperability concept allows the data sharing is now stressed by HBIM.openDi Stefano F.; Malinverni E.S.; Pierdicca R.; Fangi G.; Ejupi S.Di Stefano, F.; Malinverni, E. S.; Pierdicca, R.; Fangi, G.; Ejupi, S

HBIM IMPLEMENTATION FOR AN OTTOMAN MOSQUE. CASE OF STUDY: SULTAN MEHMET FATIH II MOSQUE IN KOSOVO

Abstract. National Strategy For Cultural Heritage 2017–2027 is a Kosovo Government document that aims the enhancement of the system for the protection and preservation of Kosovan cultural heritage. Among the listed goals, one can find the promotion of an integrated data management approach towards cooperation platforms that involve advanced technologies and information systems applied to cultural heritage. In a country with a low technological progress, as Kosovo is, an innovative information management system like HBIM is a huge challenge. This research contributes in opening the debate about the use of HBIM even for historical architecture, illustrating a methodology of information management promoting the conservation and the valorization of a Kosovan ottoman mosque. The workflow pipeline started with the close range photogrammetric survey, obtaining first spherical panoramas and then the wire-frame processed in a 3D modelling environment, suitable to implement the HBIM project. Basing on the accuracy of the data acquisition, the availability of information about the building and the related level of knowledge, we proposed a semantic representation of the complex structure integrating in an HBIM collecting in an "ad hoc" database the geometrical building components, enriched with attributes as images, materials, decay, interventions, etc., linked to each features. Our approach is an example of how efficient semantic classification can be repeated for the analysis and the documentation of other similar ottoman mosque, simplifying the management of construction by a sort of unique and searchable archive. The advantage of the interoperability concept allows the data sharing is now stressed by HBIM.</p

HySenS data exploitation for urban land cover analysis

This paper addresses the use of HySenS airborne hyperspectral data for environmental urban monitoring. It is known that hyperspectral data can help to characterize some of the relations between soil composition, vegetation characteristics, and natural/artificial materials in urbanized areas. During the project we collected DAIS and ROSIS data over the urban test area of Pavia, Northern Italy, though due to a late delivery of ROSIS data only DAIS data was used in this work. Here we show results referring to an accurate characterization and classification of land cover/use, using different supervised approaches, exploiting spectral as well as spatial information. We demonstrate the possibility to extract from the hyperspectral data information which is very useful for environmental characterization of urban areas

HySenS data exploitation for urban land cover analysis

This paper addresses the use of HySenS airborne hyperspectral data for environmental urban monitoring. It is known that hyperspectral data can help to characterize some of the relations between soil composition, vegetation characteristics, and natural/artificial materials in urbanized areas. During the project we collected DAIS and ROSIS data over the urban test area of Pavia, Northern Italy, though due to a late delivery of ROSIS data only DAIS data was used in this work. Here we show results referring to an accurate characterization and classification of land cover/use, using different supervised approaches, exploiting spectral as well as spatial information. We demonstrate the possibility to extract from the hyperspectral data information which is very useful for environmental characterization of urban areas

A COMPARISON OF PRE-PROCESSING APPROACHES FOR REMOTELY SENSED TIME SERIES CLASSIFICATION BASED ON FUNCTIONAL ANALYSIS

Satellite remote sensing has gained a key role for vegetation mapping distribution. Given the availability of multi-temporal satellite data, seasonal variations in vegetation dynamics can be used trough time series analysis for vegetation distribution mapping. These types of data have a very high variability within them and are subjected by artifacts. Therefore, a pre-processing phase must be performed to properly detect outliers, for data smoothing process and to correctly interpolate the data. In this work, we compare four pre-processing approaches for functional analysis on 4-years of remotely sensed images, resulting in four time series datasets. The methodologies presented are the results of the combination of two outlier detection methods, namely tsclean and boxplot functions in R and two discrete data smoothing approaches (Generalized Additive Model &rdquo;GAM&rdquo; on daily and aggregated data). The approaches proposed are: tsclean-GAM on aggregated data (M01), boxplot-GAM on aggregated data (M02), tsclean-GAM on daily data (M03), boxplot-GAM on daily data (M04). Our results prove that the approach which involves tsclean function and GAM applied to daily data (M03) is ameliorative to the logic of the procedure and leads to better model performance in terms of Overall Accuracy (OA) which is always among the highest when compared with the others obtained from the other three different approaches

HySenS data exploitation for urban land cover analysis

This paper addresses the use of HySenS airborne hyperspectral data for environmental urban monitoring. It is known that hyperspectral data can help to characterize some of the relations between soil composition, vegetation characteristics, and natural/artificial materials in urbanized areas. During the project we collected DAIS and ROSIS data over the urban test area of Pavia, Northern Italy, though due to a late delivery of ROSIS data only DAIS data was used in this work. Here we show results referring to an accurate characterization and classification of land cover/use, using different supervised approaches, exploiting spectral as well as spatial information. We demonstrate the possibility to extract from the hyperspectral data information which is very useful for environmental characterization of urban areas

MacroH2A1.1 regulates mitochondrial respiration by limiting nuclear NAD+ consumption

Histone variants are structural components of eukaryotic chromatin that can replace replication-coupled histones in the nucleosome. The histone variant macroH2A.1.1 contains a macrodomain able to bind NAD+ derived metabolites. Here, we report that macroH2A.1.1 is rapidly induced during myogenic differentiation through a switch in alternative splicing. Importantly, myotubes lacking macroH2A.1.1 display a defect in mitochondrial respiratory capacity. We find that the metabolite-interacting macrodomain is essential for sustaining optimal mitochondrial function, but dispensable for gene regulation. Through direct binding, macroH2A.1.1 inhibits basal poly-ADP ribose polymerase 1 activity and thus reduces nuclear NAD+ consumption. Consequentially, accumulation of the NAD+ precursor NMN allows the maintenance of mitochondrial NAD+ pools critical for respiration. Our data indicate that macroH2A.1.1-containing chromatin regulates mitochondrial respiration by limiting nuclear NAD+ consumption and establishing a buffer of NAD+ precursors in differentiated cells

Components of SurA Required for Outer Membrane Biogenesis in Uropathogenic Escherichia coli

Background: SurA is a periplasmic peptidyl-prolyl isomerase (PPIase) and chaperone of Escherichia coli and other Gramnegative bacteria. In contrast to other PPIases, SurA appears to have a distinct role in chaperoning newly synthesized porins destined for insertion into the outer membrane. Previous studies have indicated that the chaperone activity of SurA rests in its ‘‘core module’ ’ (the N- plus C-terminal domains), based on in vivo envelope phenotypes and in vitro binding and protection of non-native substrates. Methodology/Principal Findings: In this study, we determined the components of SurA required for chaperone activity using in vivo phenotypes relevant to disease causation by uropathogenic E. coli (UPEC), namely membrane resistance to permeation by antimicrobials and maturation of the type 1 pilus usher FimD. FimD is a SurA-dependent, integral outer membrane protein through which heteropolymeric type 1 pili, which confer bladder epithelial binding and invasion capacity upon uropathogenic E. coli, are assembled and extruded. Consistent with prior results, the in vivo chaperone activity of SurA in UPEC rested primarily in the core module. However, the PPIase domains I and II were not expendable for wild-type resistance to novobiocin in broth culture. Steady-state levels of FimD were substantially restored in the UPEC surA mutant complemented with the SurA N- plus C-terminal domains. The addition of PPIase domain I augmented FimD maturation into the outer membrane, consistent with a model in which domain I enhances stability of and/or substrat

Structural insights into cardiolipin transfer from the Inner membrane to the outer membrane by PbgA in Gram-negative bacteria

The outer membrane (OM) of Gram-negative bacteria is a unique asymmetric lipid bilayer in which the outer leaflet is composed of lipopolysaccharide (LPS) and the inner leaflet is formed by glycerophospholipid (GPL). The OM plays a fundamental role in protecting Gram-negative bacteria from harsh environments and toxic compounds. The transport and assembly pathways for phospholipids of bacterial OM are unknown. Cardiolipin (CL) plays an important role in OM biogenesis and pathogenesis, and the inner membrane (IM) protein PbgA, containing five transmembrane domains and a globular domain in periplasm has been recently identified as a CL transporter from the IM to the OM with an unknown mechanism. Here we present the first two crystal structures of soluble periplasmic globular domain of PbgA from S. typhimurium and E. coli, which revealed that the globular domains of PbgA resemble the structures of the arylsulfatase protein family and contains a novel core hydrophobic pocket that may be responsible for binding and transporting CLs. Our structural and functional studies shed an important light on the mechanism of CL transport in Gram-negative bacteria from the IM to the OM, which offers great potential for the development of novel antibiotics against multi-drug resistant bacterial infections